The main goal of carpenter to help make those pesky descriptive/basic characteristic tables often used in biomedical journal articles easier to make and put together. Right now, this package is focused on those types of tables, but I plan to expand to other similarly used table types.
This package is on CRAN, so install using:
install.packages('carpenter')For the developmental version, install from GitHub:
devtools::install_github('lwjohnst86/carpenter')Here is an example workflow for making tables:
library(carpenter)
library(magrittr)
outline_table(iris, 'Species') %>%
add_rows('Sepal.Length', stat_meanSD) %>%
add_rows('Petal.Length', stat_meanSD) %>%
add_rows('Sepal.Width', stat_medianIQR) %>%
build_table() | Variables | setosa | versicolor | virginica |
|---|---|---|---|
| Sepal.Length | 5.0 (0.4) | 5.9 (0.5) | 6.6 (0.6) |
| Petal.Length | 1.5 (0.2) | 4.3 (0.5) | 5.6 (0.6) |
| Sepal.Width | 3.4 (3.2-3.7) | 2.8 (2.5-3.0) | 3.0 (2.8-3.2) |
For a more detailed view of how to use carpenter, see ?carpenter or vignette('carpenter'). Or view the vignette directly here
There are several packages out there that help with making tables. They work to output and customize the tables into a given format, for instance markdown or html, but assume the data is in the form you already want to present it in. So they don't help with getting the data into the format as a table (in the context of descriptive/basic characteristic tables often seen in biomedical research). Even still, they are very useful to look over and learn about!